Asset Manager

Updated:

Larridin

Larridin is the complete impact intelligence platform for enterprise AI. AI native measurement and monitoring of AI adoption, impact, fluency and developer...

Larridin

Larridin is the complete impact intelligence platform for enterprise AI. AI native measurement and monitoring of AI adoption, impact, fluency and developer productivity. Map AI workflows and processes across your business.

General information

Firm type

Asset Manager

Sector focus

Enterprise SoftwareAI/ML

Frequently asked questions

What exactly does Larridin’s platform measure?

Larridin measures four dimensions of enterprise AI usage: adoption depth and fluency by team, workflow changes driven by AI, developer output and velocity from AI-augmented engineers, and granular spend across licenses, model calls, and tokens. Its platform connects to tools such as GitHub, Jira, and procurement systems to generate role-specific reporting for CIOs, CFOs, engineering leaders, and chief human resource officers.

How does Larridin’s product differ from AI-measurement features inside existing observability or asset-management tools?

Larridin positions itself as a dedicated measurement layer rather than a feature inside a broader platform. Its pitch to executives is that spend reports, adoption dashboards, and procurement data remain siloed in most organizations; Larridin’s specific value proposition is unifying those fragments into one source of truth for board-level AI reporting.

Does Larridin publish independent validation of its customer results?

No. Larridin’s website cites a 47% average lift in team output and $2.4 million median AI spend optimization, but the company does not disclose the number of customers, the time period measured, or any third-party audit of these figures. The data should be read as vendor-supplied marketing claims.

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